HYBRID MOTION CONTROL OF CABLE-DRIVEN HYPER REDUNDANT ROBOT CONSIDERING KINEMATIC AND TENSION OPTIMIZATION

Author(s):  
Cheng Wei ◽  
Haiyu Gu ◽  
Shengxin Sun ◽  
Yang Zhao
2015 ◽  
Vol 582 ◽  
pp. 012052
Author(s):  
G Aragón-González ◽  
A León-Galicia ◽  
M Noriega-Hernández ◽  
A Salazar-Hueta

2002 ◽  
Vol 14 (4) ◽  
pp. 324-332 ◽  
Author(s):  
Qing-jiu Huang ◽  
◽  
Kenzo Nonami ◽  

We propose a six-legged walking robot having two manipulators which offers added stability, mobility, and functionality. We studied neuro-based position and force hybrid motion control for walking on irregular terrain. Comparison with conventional position and force hybrid control demonstrates the high efficiency of the proposed neuro-based position and force hybrid control. The neuro-based position and force hybrid control includes six-axis force sensors in each leg, which provide control vertically, i.e., in the direction of gravity, and in the walking direction. This platform has proven to be very useful on irregular terrain including obstacles of random height and random position. Consequently, autonomous stable walking in an unknown environment has been realized through experiments.


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